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Received today — 7 October 2026 ⏭ npj Digital Medicine

LLM-derived narrative metrics in chronic pain: convergent validity and novel cognitive constructs

npj Digital Medicine, Published online: 06 October 2026; doi:10.1038/s41746-026-03359-x

LLM-derived narrative metrics in chronic pain: convergent validity and novel cognitive constructs

SPIRIT-CONSORT-ELM: element-level annotated dataset and large language model approach for assessing randomized controlled trial reporting

npj Digital Medicine, Published online: 06 October 2026; doi:10.1038/s41746-026-03318-6

SPIRIT-CONSORT-ELM: element-level annotated dataset and large language model approach for assessing randomized controlled trial reporting

Telemedicine in surgical and anesthetic care in urban and rural settings across time: a scoping review

npj Digital Medicine, Published online: 05 October 2026; doi:10.1038/s41746-026-03340-8

Telemedicine in surgical and anesthetic care in urban and rural settings across time: a scoping review

Standardized pre-consultation by a large language model agent vs ophthalmology residents: a randomized clinical trial

npj Digital Medicine, Published online: 05 October 2026; doi:10.1038/s41746-026-03232-x

Standardized pre-consultation by a large language model agent vs ophthalmology residents: a randomized clinical trial
Received — 15 September 2026 ⏭ npj Digital Medicine

Publisher Correction: A scoping review on the mental health harms of LLM-based chatbots

npj Digital Medicine, Published online: 14 September 2026; doi:10.1038/s41746-026-03240-x

Publisher Correction: A scoping review on the mental health harms of LLM-based chatbots

Causal machine learning for extracting insights from observational radiotherapy data

npj Digital Medicine, Published online: 14 September 2026; doi:10.1038/s41746-026-03214-z

While clinical trials are the gold standard for determining causative side effects from treatment, some trials are too logistically or ethically challenging to complete. Many side effects of treatments are learned from retrospective analyses; however, these can be confounded by other random variables. Causal and explainable machine learning tools are promising for teasing apart confounders from real treatment side effects in observational data.

Prospective validation of machine learning models predicting Gram negative bacteremia in ICU versus clinical scores

npj Digital Medicine, Published online: 14 September 2026; doi:10.1038/s41746-026-03239-4

Prospective validation of machine learning models predicting Gram negative bacteremia in ICU versus clinical scores
Received — 13 September 2026 ⏭ npj Digital Medicine

Deep learning predicts gene rearrangements from histopathology in large B-cell lymphoma

npj Digital Medicine, Published online: 12 September 2026; doi:10.1038/s41746-026-03238-5

Deep learning predicts gene rearrangements from histopathology in large B-cell lymphoma

Deep learning combined habitat radiomics analysis of central lymph node metastasis in papillary thyroid carcinoma

npj Digital Medicine, Published online: 12 September 2026; doi:10.1038/s41746-026-03203-2

Deep learning combined habitat radiomics analysis of central lymph node metastasis in papillary thyroid carcinoma

Safety, efficacy and acceptability of human-GenAI single-session exposure-based intervention for academic anxiety: randomized controlled trials

npj Digital Medicine, Published online: 12 September 2026; doi:10.1038/s41746-026-03199-9

Safety, efficacy and acceptability of human-GenAI single-session exposure-based intervention for academic anxiety: randomized controlled trials
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